---
title: 'Custom Prompt Simulation'
description: 'This cookbook provides a example of an agent uses custom prompt to set a task for selling products.'
---

# Custom Prompt Simulation

This cookbook provides a example of an agent uses custom prompt to set a task for selling products.

```python
import asyncio
import os

from camel.models import ModelFactory
from camel.prompts import TextPrompt
from camel.types import ModelPlatformType, ModelType

import oasis
from oasis import ActionType, AgentGraph, LLMAction, SocialAgent, UserInfo


async def main():
    # Define the model for the agents
    openai_model = ModelFactory.create(
        model_platform=ModelPlatformType.OPENAI,
        model_type=ModelType.GPT_4O_MINI,
    )

    # Define the available actions for the agents
    available_actions = [
        ActionType.LIKE_POST, ActionType.DISLIKE_POST, ActionType.CREATE_POST,
        ActionType.CREATE_COMMENT, ActionType.LIKE_COMMENT,
        ActionType.DISLIKE_COMMENT, ActionType.FOLLOW, ActionType.MUTE,
        ActionType.PURCHASE_PRODUCT
    ]

    seller_template = TextPrompt('Your aim is: {aim} Your task is: {task}')

    profile = {
        "aim": "Persuade people to buy `GlowPod` lamp.",
        "task": "Using roleplay to tell some story about the product.",
    }

    agent_graph = AgentGraph()
    agent_1 = SocialAgent(
        agent_id=0,
        user_info=UserInfo(
            user_name="snackslut",
            name="Snack Slut",
            description="I taste so you don’t have to.",
            profile=profile,
        ),
        user_info_template=seller_template,
        agent_graph=agent_graph,
        model=openai_model,
        available_actions=available_actions,
    )
    agent_graph.add_agent(agent_1)

    agent_2 = SocialAgent(
        agent_id=1,
        user_info=UserInfo(
            user_name="bubble",
            name="Bob",
            description="A boy",
            profile=None,
            recsys_type="reddit",
        ),
        agent_graph=agent_graph,
        model=openai_model,
        available_actions=available_actions,
    )
    agent_graph.add_agent(agent_2)

    # Define the path to the database
    db_path = "./data/reddit_simulation.db"

    # Delete the old database
    if os.path.exists(db_path):
        os.remove(db_path)

    # Make the environment
    env = oasis.make(
        agent_graph=agent_graph,
        platform=oasis.DefaultPlatformType.REDDIT,
        database_path=db_path,
    )

    # Run the environment
    await env.reset()

    # Sign up the profuct
    await env.platform.sign_up_product(product_id=1, product_name="GlowPod")

    for _ in range(5):
        actions = {
            agent: LLMAction()
            for _, agent in env.agent_graph.get_agents()
        }
        await env.step(actions)

    # Close the environment
    await env.close()


if __name__ == "__main__":
    asyncio.run(main())
```
